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Research Statistician

Job in Newcastle upon Tyne, Newcastle, Tyne and Wear, SY7, England, UK
Listing for: Spalding Goobey Associates
Full Time position
Listed on 2026-10-18
Job specializations:
  • Research/Development
    Data Scientist, Research Analyst, Research Scientist
Salary/Wage Range or Industry Benchmark: 42000 - 64000 GBP Yearly GBP 42000.00 64000.00 YEAR
Job Description & How to Apply Below

largely remote (2 days a month in the office)

Opportunity for an established government statistician to join an established research and analysis team within a well regarded government funded social impact organisation.

Day to day you will:

  • Analyse and interpret survey data
  • Apply expert knowledge in statistical and data-modelling techniques to support strategic decisions and policy making.
  • Collaborate effectively with both internal and external stakeholders.
  • Work cross-functionally with other teams and analysts across the organisation.
  • Provide support for ad-hoc research and data-related requests.

To be successful in this role, you’ll need:

  • Strong knowledge of quantitative research methods and experience in interpreting and analysing longitudinal survey data.
  • Proficiency in statistical and data-modelling tools and techniques, such as survey sampling, weighting, imputation, regression analysis, and more.
  • Excellent analytical and problem-solving skills.
  • Ability to communicate technical analysis and findings to a non-technical audience effectively.
  • A degree in a relevant field such as mathematics, statistics, or significant experience in research and data analysis.
  • Strong knowledge of quantitative research methods and experience in interpreting and analysing survey data.
  • Proficiency in statistical and data-modelling tools and techniques, such as survey sampling, weighting, imputation, regression analysis, and more.
  • Excellent analytical and problem-solving skills.
  • Ability to communicate technical analysis and findings to a non-technical audience effectively.
  • A degree in a relevant field such as mathematics, statistics, or significant experience in research and data analysis.
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